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--- |
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language: |
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- ta |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tiny Ta - Bharat Ramanathan |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: Common Voice 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: ta |
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split: test |
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args: ta |
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metrics: |
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- type: wer |
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value: 30.102694404742998 |
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name: Wer |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: google/fleurs |
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type: google/fleurs |
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config: ta_in |
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split: test |
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metrics: |
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- type: wer |
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value: 26.07 |
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name: WER |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Tiny Ta - Bharat Ramanathan |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3096 |
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- Wer: 30.1027 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1000 |
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- training_steps: 10000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
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| 0.5622 | 0.2 | 1000 | 0.4460 | 41.4141 | |
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| 0.4151 | 0.4 | 2000 | 0.3657 | 35.1390 | |
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| 0.3727 | 0.6 | 3000 | 0.3417 | 33.1723 | |
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| 0.3519 | 0.8 | 4000 | 0.3252 | 31.9497 | |
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| 0.3354 | 1.0 | 5000 | 0.3192 | 31.3997 | |
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| 0.3492 | 0.1 | 6000 | 0.3283 | 31.6966 | |
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| 0.3229 | 0.2 | 7000 | 0.3211 | 31.1339 | |
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| 0.3193 | 0.3 | 8000 | 0.3138 | 30.5161 | |
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| 0.314 | 0.4 | 9000 | 0.3112 | 30.1832 | |
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| 0.3087 | 0.5 | 10000 | 0.3096 | 30.1027 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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